deep-research

Orchestrate an 8-phase research pipeline with multi-source verification and synthesis.

3|2|Updated Mar 14, 2026
One-click install
npx skills add https://github.com/ryan-mt/claude-backup --skill deep-research-ryan-mt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/ryan-mt/claude-backup/tree/main/config/skills/deep-research
Command: npx skills add https://github.com/ryan-mt/claude-backup --skill deep-research-ryan-mt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill solves the problem of conducting comprehensive, reliable research by providing a structured process with verification and synthesis.

Core Features & Use Cases

  • Structured Research Pipeline: 8-phase methodology for gathering, verifying, and synthesizing information.
  • Multi-source Synthesis: Combines insights from multiple sources for a comprehensive understanding.
  • Citation Tracking & Verification: Ensures all claims are backed by credible sources.
  • Use Case: Ideal for technical deep dives, market analysis, and complex decision-making processes.

Quick Start

Use the deep-research skill to conduct a deep research report on "state of quantum computing 2025".

Frequently Asked Questions about deep-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I conduct deep research with multi-source verification and synthesis?

Deep research with multi-source verification applies a structured 8-phase pipeline—Scope, Plan, Retrieve, Triangulate, Synthesize, Critique, Refine, Package—to gather, cross-check, and synthesize comprehensive evidence into a final report.

What is the best way to structure an information retrieval process for complex decision-making?

Structuring information retrieval for complex decisions requires a phased methodology that plans parallel source gathering, triangulates data across references, and critiques synthesized findings to ensure evidence quality before packaging.

Can I use this structured research pipeline for market analysis and technical deep dives?

Yes, the structured research pipeline is ideal for market analysis, technical deep dives, and complex decision-making, orchestrating parallel retrieval and multi-source synthesis to handle comprehensive research questions.

How does the source triangulation process work during evidence synthesis?

Source triangulation works by cross-referencing retrieved information across multiple parallel sources during the verification phase, ensuring all synthesized claims are backed by credible citation tracking before final packaging.

What are the limitations of automating complex research questions with a structured pipeline?

Automating complex research requires various tools for parallel source retrieval and structured data analysis, meaning limitations arise if retrieval tools cannot access necessary sources or if input research questions lack sufficient scope for the 8-phase pipeline.

Do I need specific tools to run parallel source retrieval for comprehensive research?

Yes, comprehensive research across multiple sources requires various tools for parallel source retrieval, structured data analysis, and quality assurance to execute the 8-phase pipeline and deliver verified synthesis.